Staff Introduction
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植木 優夫 Masao UEKI
- Emailuekimnagasaki-u.ac.jp- Position / Degree Institute of Integrated Science and Technology, Professor
School of Information and Data Sciences, Professor
Ph.D.（Environmental Science）- Specialized Field Statistical Science, Biostatistics, Statistical Genetics- External Links researchmap
CV
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Mar.2003
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Okayama University, Faculty of Environmental Science and Technology, Graduated
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Mar.2005
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Okayama University, Graduate School of Natural Science and Technology, Master Course, Completed
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Mar.2008
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Okayama University, Graduate School of Environmental, Doctor Course, Completed
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Apr.2008
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Research Organization of Information and Systems, Transdisciplinary Research Integration Center, Project Researcher
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Jun.2009
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Yamagata University, Faculty of Medicine, Assistant Professor
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Nov.2010
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Newcastle University, Institute of Genetic Medicine, Visiting Researcher
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Aug.2013
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Tohoku University, Tohoku Medical Megabank Organization, Assistant Professor
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May 2015
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Kurume University, Biostatistics Center, Lecturer
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Apr.2016
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Kurume University, Biostatistics Center, Associate Professor
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Jun.2017
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RIKEN, Center for Advanced Intelligence Project, Statistical Genetics Team, Research Scientist
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Research Activities
Healthcare big data analysis
Large-scale cohort studies have been established in many countries. From these healthcare big data, there is a need to gain new insights such as identification of unknown risk factors and prediction of risk of developing disease, and to give back to society. Extensive data makes it difficult to perform comprehensive and detailed analysis by human power, but the data can be analyzed efficiently using advanced theories and methods of statistical science and machine learning. My main research interests are sparse modeling and other methods that are easily interpreted and also have high accuracy.
Methodology and practice of ultrahigh dimensional genomic data analysis
My research focuses on the development and practice of methodologies to investigate the relationship between human diseases and genes. In particular, I am studying ultrahigh dimensional genomic data such as genome-wide SNPs (single nucleotide polymorphisms) data. For example;
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- Genome-wide association study
- Gene × gene interaction analysis
- Gene × environment interaction analysis
- Prediction of risk of developing disease
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Using statistical science, biostatistics, and machine learning, I work on a variety of statistical genetics problems ranging from standard to advanced analysis of human genomic data.
Genome-wide association analysis (search for disease susceptibility genes from millions or more of SNPs data)
Educational Activities
Class
School of Information and Data Sciences：First-year Seminar, Probability and Statistics, Medical and Bio informatics II, Research Project